Laplacian spectrum of rounded knot network and its applications.
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| Title: | Laplacian spectrum of rounded knot network and its applications. |
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| Authors: | Wang, Ling1 (AUTHOR), Wu, Bo1 (AUTHOR) bowu8800@nufe.edu.cn |
| Source: | International Journal of Modern Physics C: Computational Physics & Physical Computation. May2026, Vol. 37 Issue 5, p1-14. 14p. |
| Subjects: | Topology, Helical structure, Molecular graphs, Graph connectivity, Spectral theory, Random walks, Knot theory |
| Abstract: | The Laplacian spectrum of a network encompasses the topology and structural characteristics of the network, as well as some dynamic characteristics, especially information related to random walks. In recent years, topological indices have become a research hotspot in the field of chemical graph theory, as these indices can accurately characterize the topological structure of molecular graphs for simulating compounds. The helix structure is the core structure of biomolecules and has received widespread attention from scientists in the chemical field. In this paper, the helix structure is introduced into the phenylene-quadrilateral networks, resulting in the generation of a rounded knot network. To analyze the network, based on the relationship between the coefficients and roots of the characteristic polynomial, we propose a recursive method to calculate its Kirchhoff index, the Mean First Passage Time (MFPT) and the number of spanning trees. [ABSTRACT FROM AUTHOR] |
| Copyright of International Journal of Modern Physics C: Computational Physics & Physical Computation is the property of World Scientific Publishing Company and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 189732898 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Laplacian spectrum of rounded knot network and its applications. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Wang%2C+Ling%22">Wang, Ling</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Wu%2C+Bo%22">Wu, Bo</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> bowu8800@nufe.edu.cn</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Modern+Physics+C%3A+Computational+Physics+%26+Physical+Computation%22">International Journal of Modern Physics C: Computational Physics & Physical Computation</searchLink>. May2026, Vol. 37 Issue 5, p1-14. 14p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Topology%22">Topology</searchLink><br /><searchLink fieldCode="DE" term="%22Helical+structure%22">Helical structure</searchLink><br /><searchLink fieldCode="DE" term="%22Molecular+graphs%22">Molecular graphs</searchLink><br /><searchLink fieldCode="DE" term="%22Graph+connectivity%22">Graph connectivity</searchLink><br /><searchLink fieldCode="DE" term="%22Spectral+theory%22">Spectral theory</searchLink><br /><searchLink fieldCode="DE" term="%22Random+walks%22">Random walks</searchLink><br /><searchLink fieldCode="DE" term="%22Knot+theory%22">Knot theory</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: The Laplacian spectrum of a network encompasses the topology and structural characteristics of the network, as well as some dynamic characteristics, especially information related to random walks. In recent years, topological indices have become a research hotspot in the field of chemical graph theory, as these indices can accurately characterize the topological structure of molecular graphs for simulating compounds. The helix structure is the core structure of biomolecules and has received widespread attention from scientists in the chemical field. In this paper, the helix structure is introduced into the phenylene-quadrilateral networks, resulting in the generation of a rounded knot network. To analyze the network, based on the relationship between the coefficients and roots of the characteristic polynomial, we propose a recursive method to calculate its Kirchhoff index, the Mean First Passage Time (MFPT) and the number of spanning trees. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of International Journal of Modern Physics C: Computational Physics & Physical Computation is the property of World Scientific Publishing Company and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1142/S0129183125501062 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 14 StartPage: 1 Subjects: – SubjectFull: Topology Type: general – SubjectFull: Helical structure Type: general – SubjectFull: Molecular graphs Type: general – SubjectFull: Graph connectivity Type: general – SubjectFull: Spectral theory Type: general – SubjectFull: Random walks Type: general – SubjectFull: Knot theory Type: general Titles: – TitleFull: Laplacian spectrum of rounded knot network and its applications. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Wang, Ling – PersonEntity: Name: NameFull: Wu, Bo IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 05 Text: May2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 01291831 Numbering: – Type: volume Value: 37 – Type: issue Value: 5 Titles: – TitleFull: International Journal of Modern Physics C: Computational Physics & Physical Computation Type: main |
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